Title :
Compatibility measures using fuzzy truth and co-implication
Author_Institution :
Dept. of Syst. Anal., Miami Univ., Oxford, OH, USA
Abstract :
A compatibility measure is a scaler measure that assesses some type of agreement between two fuzzy sets. The three general classes of compatibility measures are set theoretic, metric, and logic. Set theoretic compatibility measures are the ones predominantly found in the literature. Recently, however, metric and logic compatibility measures are being used. The logic class of compatibility measures and its two different motivating influences, fuzzy truth and co-implication, are described. Applying fuzzy logic in rule-based expert systems provides the framework for employing fuzzy truth as a compatibility function. The co-implication approach is shown to produce similarity relations between degrees of membership
Keywords :
expert systems; fuzzy logic; compatibility measures; fuzzy truth; rule-based expert systems; scaler measure; Algebra; Expert systems; Fuzzy logic; Fuzzy sets; Fuzzy systems; Information retrieval; Relational databases; Set theory;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375067